جست‌وجوی استاد و پژوهشگر

Arno Solinمشاهده پروفایل

دانشیار

• Machine Learning
• Signal Processing
• Sensor Fusion
• +۸ مورد دیگر

Dr. Arno Solin is a tenured Associate Professor in Machine Learning at Aalto University's Department of Computer Science and an Academy of Finland Research Fellow . He leads the Aalto machine learning research group and serves as Director of the Finnish Doctoral Program Network in AI (AI-DOC) . His work bridges probabilistic modeling with practical applications in sensor fusion and real-time inference. ELLIS Scholar (European Laboratory for Learning and Intelligent Systems) Adjunct Professor at Tampere University Member of Young Academy Finland (2021–2025) Research Interests focus on data-efficient machine learning with probabilistic methods for real-time inference and sensor fusion. Key areas include Gaussian processes, diffusion models, stochastic differential equations, and uncertainty quantification in deep learning. His group develops methods that combine structural constraints with adaptive learning for deployment on resource-limited hardware. Publication Trends show consistent output in top venues (NeurIPS, ICML, ICLR, AISTATS) with emphasis on diffusion models , 3D scene reconstruction , and real-time probabilistic modeling . Recent works explore physics-informed learning, heterophily-aware graph models, and compressed representations for world models in reinforcement learning. Scientific Recognition : Awarded AI Researcher of the Year 2024 by AI Finland Teacher of the Year 2023 at Aalto CS ISIF Jean-Pierre Le Cadre Best Paper Award (2018) MLSP Schizophrenia Classification Challenge Winner (2014) NeurIPS/ICML Reviewer Awards Research Leadership includes coordinating Finland's AI Center of Excellence program and directing the Finnish Doctoral Program Network in AI (AI-DOC). He supervises 15+ doctoral/postdoctoral researchers and has spun off Spectacular AI , a company commercializing sensor fusion technology.

Haitao Shiمشاهده پروفایل

پژوهشگر

• Criminal Justice
• Drug Policing
• Research Methods
• +۳ مورد دیگر

Dr Haitao Shi is a Researcher affiliated with the School of Social and Political Science at the University of Edinburgh. His research focuses on criminal justice systems, drug policing in China, and the intersection of technology with crime. He employs advanced research methods including quantitative tools (R, Python, SPSS), qualitative software (Nvivo, MAXQDA), and data visualization techniques (Gephi, QGIS). His current projects include studying Chinese students' experiences at the University of Edinburgh and analyzing rhizomatic networks in online drug trade funded by the Polish Ministry of Science. Haitao's work emphasizes cross-cultural comparisons, particularly in drug trade dynamics across Finnish, Polish, and English-speaking contexts. He explores topics like police professionalization in China, guanxi networks, and quota-driven policing strategies. His methodologies span cloud computing (Azure, AWS), database systems (MySQL), and version control (Git), reflecting a technologically adept approach to criminology research. Notable research themes include the role of marketing in darknet drug trade, generational conflicts in police culture, and community-based drug rehabilitation policies. He collaborates with international teams and utilizes platforms like Microsoft Azure for large-scale data analysis.

Eero Hyvönenمشاهده پروفایل

استاد

• Semantic Web
• Linked Data
• Artificial Intelligence
• +۲ مورد دیگر

Eero Hyvönen is a Professor of Computer Science at Aalto University and Director of the Helsinki Centre for Digital Humanities (HELDIG) at the University of Helsinki. He leads the Semantic Computing Research Group (SeCo), specializing in Semantic Web technologies and applications. Hyvönen holds an Adjunct Professor title at the University of Helsinki's Department of Computer Science. His work focuses on developing national-level semantic web infrastructure, with applications in digital humanities, cultural heritage, and AI. He has published over 500 research articles and books, receiving numerous awards including the Decoration of Knight, First Class, of the Order of the White Rose of Finland (2018). Hyvönen chairs editorial boards of journals like Semantic Web and serves on committees for major conferences. His research spans semantic web technologies, linked open data, and AI applications in cultural heritage domains. Key projects include Sampo portals (e.g., LetterSampo, OperaSampo) for cultural data analysis, ParliamentSampo for parliamentary data, and FindSampo for archaeological finds. His work emphasizes interdisciplinary collaboration, integrating law, history, and computing through initiatives like FIN-CLARIAH. Hyvönen advises doctoral and master's students, notably Annastiina Ahola and Jouni Tuominen, who have won awards under his supervision. He directs research infrastructures, chairs international boards, and actively contributes to open data policies and standards development.

Antti Honkelaمشاهده پروفایل

استاد

• Privacy-preserving machine learning
• Differential Privacy
• Bayesian Machine Learning
• +۳ مورد دیگر

Antti Honkela is a Professor of Data Science at the University of Helsinki's Department of Computer Science, within the Faculty of Science. He also serves as the Coordinating Professor for the Privacy-preserving and Secure AI Research Programme at the Finnish Center for Artificial Intelligence (FCAI), and as Deputy Director of the Master's Programme in Data Science. His roles include membership in the Health and Social Data Permit Authority (Findata) and as an Action Editor for Transactions on Machine Learning Research. Honkela's research focuses on privacy-preserving machine learning, differential privacy, Bayesian methods, and their applications in computational biology and healthcare. He leads projects such as the European Lighthouse in Secure and Safe AI (ELSA) and the Data Literacy for Responsible Decision-making initiative. His work emphasizes developing robust frameworks for privacy-aware AI, including differentially private synthetic data and federated learning. Honkela has advised numerous PhD and Master's students, and his contributions span theoretical advancements and practical implementations, such as the D3p Python package for differentially private probabilistic programming. Key contributions include advancements in Bayesian inference from synthetic data, privacy accounting mechanisms, and computational methods for genomic epidemiology. His interdisciplinary approach bridges machine learning, statistics, and healthcare, addressing challenges in data privacy and secure AI deployment.

• Social and Cultural Anthropology
• Southeast Asia
• Indonesia
• +۹ مورد دیگر

Timo Kaartinen serves as Professor of Social and Cultural Anthropology and Vice Dean for Research and Doctoral Education at the University of Helsinki 's Faculty of Political Science . Since 1992, he has conducted extensive research in Southeast Asia with a focus on Indonesia, exploring communicative practices, narratives, and cultural responses to uncertainty. His teaching spans social change in bachelor's, master's, and doctoral programs, covering environmental anthropology, political anthropology, cosmologies, religions, and linguistic anthropology. PhD in Anthropology, University of Chicago (2001) Docent (Adjunct Professor), University of Helsinki (2011) Research interests center on ethical discourse in Indonesian Islamic universities, resource politics in oil palm estates, and linguistic anthropology with emphasis on storytelling, folk poetry, and minority language revitalization. His work combines ethnographic focus on Southeast Asia with theoretical contributions to frontier studies and postcolonial anthropology. Recent publications examine frontier temporalities (2020-2025), Islamic transformations (2019), and oral narrative structures (2017-2013). Key projects include ARCTIC Research Centre (2025-2029), Diversity in Society and Life (DIVSOL) (2025-2030), and Religious Movements in Ethical Life (2019-2023). Grants from the Academy of Finland and University Profiling Funding support these initiatives. Academic activities include keynote speeches at international conferences (e.g., Empowering Local Wisdom 2014, Labor Migration in Asia-Pacific 2013) and editorial roles. He has conducted fieldwork in Indonesia since 1992, focusing on Bandanese cultural heritage and Maluku religious dynamics . His methodological approach combines ethnographic fieldwork with historical document analysis .

Ethan Pooleمشاهده پروفایل

استادیار

• Syntax
• Semantics
• Syntax-Semantics Interface
• +۳ مورد دیگر

Ethan Poole is an Assistant Professor in the Department of Linguistics at the University of California, Los Angeles (UCLA). His research focuses on syntax, the syntax-semantics interface, and morphological case, particularly in Finnish. Key areas include reconstruction effects, quirky subjects, and cross-clausal dependencies, with recent work on the Williams Cycle and Hindi-Urdu binding. His research interests span syntactic movement interpretation, morphological case (especially Finnish), and quirky subjects. He explores topics like embedding, intervention effects in tough-constructions, and NPI grammaticality illusions. Collaborative work includes studies on Hindi-Urdu scrambling and tough-constructions. His articles analyze reconstruction effects, trace semantics, and syntactic phases, reflecting a focus on formal syntax and interface constraints. Notable themes include case assignment mechanisms and the theoretical implications of syntactic movement for semantic interpretation. No specific scientific awards or grants are listed in the provided information. He advises no students in the given data. His work contributes to foundational questions in syntactic theory and cross-linguistic variation.

Teemu Roosمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۶ مورد دیگر

Teemu Roos is a Professor at the Department of Computer Science , University of Helsinki , and a Principal Investigator for the Complex Systems Computation Group under the Helsinki Institute for Information Technology. He serves as a Supervisor for the Doctoral Programme in Computer Science and leads multiple research initiatives, including Distributed AI in Supercomputing , AI & Kids , and Generation AI . Dr. Roos also holds a Docent title in Computer Science. His research spans Artificial Intelligence , Machine Learning , and Data Science , with a focus on AI education , graph neural networks , Bayesian modeling , and health informatics . He has pioneered tools like Elements of AI , a free online course now translated into 22 EU languages, and explores the ethical implications of AI-generated content in authorship and inventorship. The 15 most recent publications highlight applications in environmental forecasting (e.g., Mediterranean Sea via graph-based deep learning), healthcare (e.g., skin cancer detection with transfer learning), and social media analysis (e.g., explainable AI platforms for K-12 education). Methodologically, his work advances clustering algorithms , dimensionality reduction , and approximate nearest neighbor search . Scientific Awards: Cor Baayen Award (2009) Nokia Foundation Recognition Award (2019) Best Paper Honorable Mention Award (2013) ICT Influencer of the Year 2019 (Vuoden TiVi-vaikuttaja 2019) World Summit AI's Top-50 Innovators in 2020 Dr. Roos has supervised 2 doctoral students and contributed to 163 academic activities , including invited talks at MIT, University of Cambridge, and the Finnish Institute in Rome. He has secured funding from the Academy of Finland and the Strategic Research Council, focusing on projects like Fast AI-assisted Space Environment Prediction and Urban Exerciser .

Pekka Marttinenمشاهده پروفایل

دانشیار

• Machine Learning
• Large Language Models
• Reinforcement Learning
• +۸ مورد دیگر

Pekka Marttinen is a tenured Associate Professor of Machine Learning at Aalto University, Department of Computer Science, and leads the Machine Learning for Health (Aalto-ML4H) group within the Helsinki Institute for Information Technology HIIT. Education: M.Sc. in Applied Mathematics, University of Helsinki (2004) Ph.D. in Statistics, University of Helsinki (2008) Title of Docent in Information and Computer Science, Aalto University (2015) Research Focus: His methodological work spans large language models, reinforcement learning, deep learning, probabilistic machine learning, and causal inference . These techniques are applied to critical domains of healthcare, bioinformatics, statistical genetics, epidemiology, and personalized medicine . The group develops novel algorithms, theoretical guarantees, and open-source software that enable data-driven discovery and decision-making in medicine and biology. Publication Trends: Across 2022-2024 the lab has concentrated on (i) rigorous causal reasoning over temporal clinical data, (ii) principled uncertainty quantification in LLMs, (iii) representation learning for neural network comparison, and (iv) translational projects that turn raw EHRs into actionable clinical insights. Earlier work integrated high-dimensional genomics with metabolomics and mapped evolutionary forces in bacterial pathogens. Scientific Awards & Recognition: While no specific awards are listed, his sustained publication record in top-tier venues (NeurIPS, ICML, AISTATS, Nature Genetics, PLOS CB) and his role as responsible professor of the Machine-Learning, Data-Science and AI major signify significant peer recognition. Advising & Grants: Prof. Marttinen currently mentors 8 PhD students as primary supervisor and an additional 7 PhD students as co-supervisor. He has already graduated 8 PhDs since 2014. The group is supported through competitive funding including the Finnish Center for Artificial Intelligence (FCAI) doctoral program. Labs & Teams: He directs the Machine Learning for Health (Aalto-ML4H) research group, comprising postdocs Hans Moen, Ti John, Alexander Nikitin, Negar Safinianaini, Linli Zhang, Zhiyuan Li, and the above-mentioned PhD cohort.

Åsa Slotteمشاهده پروفایل

پژوهشگر

• Philosophy of Medicine
• Medical Ethics
• Philosophy of Language
• +۹ مورد دیگر

Åsa Slotte is a researcher in the Faculty of Arts, Psychology and Theology, Department of Culture, History and Philosophy, with a PhD completed in 2008. Her work lies at the intersection of philosophy, medicine, and ethics, with a strong focus on the contextual and moral dimensions of illness and diagnosis. Research Interests: Her primary areas include Philosophy of Medicine, Medical Ethics, Philosophy of Language, Gender Studies, Eating Disorders, and Medical Humanities. She employs an interdisciplinary approach, integrating philosophy, psychology, psychiatry, and gender studies. Her recent publications reflect a blend of academic and public engagement, including a 2022 book Ur mammas mörker and contributions to Medical Humanities in Finland (2024). The works demonstrate a consistent focus on personal narratives, ethical critique of medical practices, and the philosophical implications of diagnoses—especially in relation to gender and mental health. Themes such as dehumanization in psychiatry, the role of family in illness, and autobiographical reflection recur across her recent articles. Scientific Activities: Co-organizer of the 'Medicinsk Humaniora' symposium (2023) Contributor to public discourse on migraine, Oliver Sacks, and existential philosophy Advising and Grants: While no formal students or grants are listed, her postdoctoral project on sexuality and diagnoses in men suggests ongoing research support. Her work contributes to UN Sustainable Development Goals, particularly in health and well-being. Labs and Teams: She collaborates within Nordic academic networks in Medical Humanities, indicating active participation in interdisciplinary research communities.

Suvi Saarikallioمشاهده پروفایل

استاد

• Music Psychology
• Music Education
• Music Therapy
• +۷ مورد دیگر

Suvi Saarikallio is a Professor of Music Education at the University of Jyväskylä, Finland , affiliated with the Faculty of Humanities and Social Sciences and the Department of Music, Art and Culture Studies . She leads interdisciplinary research bridging music psychology, education, and therapy, with a focus on youth development, emotion regulation, and well-being. Research Groups: Centre of Excellence in Music, Mind, Body and Brain (2022-2029), Musiconnect (2022-2027) Key Projects: Music and You, Stress & music listening, MPACT (Music and Sports), Music and Cross-modal Associations, SOSUS (Social Sustainability for Children) Research Trends: Her recent publications explore music's role in emotional regulation, cross-modal perception, health outcomes, and educational applications. Themes include AI's impact on music evaluation, rhythm's connection to cognitive skills, and music's influence on stress and social-emotional development. Contact: suvi.saarikallio@jyu.fi

• Administrative Law
• Constitutional Law
• Global Administrative Law
• +۴ مورد دیگر

Professor Ida Koivisto from the Faculty of Law at the University of Helsinki specializes in administrative law, constitutional law, and global administrative law. Her research focuses on transparency in digital governance, automated decision-making in public administration, and the intersection of law with digital technology. Key research themes: Digital transparency, legal automation, EU administrative law Active in multidisciplinary projects like DARE (Digital Administration Redesigned for Everyone) and AlgoT (Algorithmic Transparency) Recent publications explore ethical dimensions of AI in governance, legal personhood in digital systems, and paradoxes of transparency. Her work appears in journals like Artificial Intelligence, Humans and the Law and Critical Analysis of Law . International collaborations include academic visits to the University of Toronto, University of Hong Kong, and European University Institute. She contributes to policy through expert statements for Finland's Constitutional Law Committee and other public institutions.

• Artificial Intelligence
• Data Science
• Computational Creativity
• +۲ مورد دیگر

Hannu Toivonen is a Full Professor of Computer Science at the University of Helsinki, affiliated with the Faculty of Science and the Department of Computer Science. He leads the Discovery Research Group and is part of the Helsinki Institute for Information Technology (HIIT) and the Finnish Center for Artificial Intelligence (FCAI). He obtained his PhD in Computer Science from the University of Helsinki in 1996 and has held his professorship since 2002. His research spans Artificial Intelligence , Data Science , Computational Creativity , and Data Mining , with applications in generative art, automated journalism, and bioinformatics. His research focuses on: Developing AI systems for creative tasks (e.g., poetry, music, and art generation) Cross-lingual natural language processing and unsupervised learning Ethical and societal implications of AI in media and labor Analysis of his 15 most recent publications (2021–2025) reveals a strong emphasis on computational creativity and AI-driven content generation , with interdisciplinary applications in digital humanities, journalism, and biology. Trends include ethical AI frameworks, human-AI collaboration, and innovative evaluation methods for generative systems. Scientific Awards & Honors: Knight, First Class, Order of the White Rose of Finland (2019) Best Applied Research Award, IEEE ICDM (1998) Honorary Member of TKO-äly (2010) Member of Finnish Academy of Science and Letters He has supervised over 20 doctoral theses and secured ~7 MEUR in grants (e.g., EU projects: Embeddia , Newseye ). He leads the Discovery Research Group and collaborates with institutions like VUB (Belgium) as a Francqui International Professor (2025).

Mónica López Lermaمشاهده پروفایل

دانشیار

• Contemporary Spanish Film and Literature
• Film Theory
• Gender Studies
• +۶ مورد دیگر

Mónica López Lerma is an Associate Professor of Spanish and Humanities at Reed College since 2015. Her interdisciplinary work bridges Spanish cinema and literature with critical legal studies, political theory, and aesthetics. Formerly affiliated with the University of Helsinki, University of British Columbia, and Kyrgyz State National University, she holds a PhD in Comparative Literature and a Graduate Certificate in Film Studies from the University of Michigan, alongside legal degrees from the University of Valencia and European Academy of Legal Theory. Research focuses on contemporary Spanish film , gender studies , memory politics , and law-humanities intersections . Author of Sensing Justice Through Contemporary Spanish Cinema (2021) and editor of Cartografías in/justas (2024) and Rancière and Law (2018). Her publications analyze legal-aesthetic relationships in films and academic texts, supported by grants like the Finnish Cultural Foundation and Jean Monnet Fellowships. Recent projects include a book titled Documentaries Against the Law: Evidence, Affect, and Reflexivity . Scientific Awards: Finnish Cultural Foundation Grant Jean Monnet Graduate Fellowship Spanish Ministry of Foreign Affairs Research Fellowship

Allan Sikkمشاهده پروفایل

استاد

• Comparative Politics
• Electoral Systems
• Party Systems
• +۴ مورد دیگر

Allan Sikk is a Professor of Comparative Politics at the School of Slavonic and East European Studies (SSEES), University College London (UCL). He joined UCL in 2007 following a PhD from Tartu University and a tenure as head of the Estonian parliament’s research service. His research focuses on electoral candidates, party switching in parliaments, and party system evolution, with a 2023 co-authored book, *Party People: Candidates and Party Evolution* (Oxford University Press), analyzing party change through candidate data in Central and Eastern Europe. He leads the INSTAPARTY project, a 4-year initiative funded by the Norwegian Research Council, studying party instability in parliaments. Education: PhD, University of Tartu (2006) MA, University of Tartu (2001) BA, University of Tartu (1999) Research expertise spans political science, comparative government, and democratization, with a focus on Europe and Eastern Europe. His work integrates classic comparative models with insights from new democracies. He is fluent in English, Estonian, Danish, Finnish, Spanish, Russian, and reads multiple languages. Grants and Projects: Co-Principal Investigator, INSTAPARTY: Party Instability in Parliaments (Norwegian Research Council) His publications analyze party system volatility, parliamentary behavior, and electoral dynamics, emphasizing candidate turnover and institutional adaptation. He contributes to Sustainable Development Goals 5 (Gender Equality), 10 (Reduced Inequalities), and 16 (Peace, Justice, Strong Institutions).

• Deep Learning
• Automatic Speech Recognition (ASR)
• Spoken Language Modeling
• +۳ مورد دیگر

Mikko Kurimo is a Full Professor at Aalto University's Department of Information and Communications Engineering, School of Electrical Engineering. He earned his M.Sc., Lic.Tech., and D.Sc.(Tech.) from Helsinki University of Technology (1992, 1994, 1997) and pioneered neural networks for automatic speech recognition (ASR) in his PhD thesis. After research roles at IDIAP (Swiss AI center) and visiting positions at University of Colorado, Edinburgh, SRI, ICSI, and Nitech, he leads Aalto's ASR group since 2000. His work focuses on unsupervised subword modeling for morphologically complex languages (Finnish, Estonian, Turkish, Arabic) and large speech foundation models. PhD in Neural ASR (Helsinki University of Technology, 1997) Research Scientist at IDIAP (Switzerland) Visiting Fellow at University of Colorado, Edinburgh, SRI, ICSI, Nitech Head of Aalto ASR Group (2000-present) His research spans deep learning for ASR, spoken language modeling , and low-resource language solutions . Recent work explores continued pre-training of self-supervised models, multimodal emotion recognition, and pronunciation assessment using LLMs. He led the winning team in the 2017 Multi-Genre Broadcast challenge and secured competitive funding in Tekes Challenge Finland and EC's H2020-ICT-2017. Key article trends include: Advancements in children's speech recognition and dysarthric speech processing Integration of generative AI for language learning feedback Specialization in low-resource Uralic languages (Finnish, Northern Sámi) Development of robust ASR systems for complex phonetic environments Scientific Awards ACM Multimedia 2023 Computational Paralinguistics Challenge Prize First place in MGB3 2017 Arabic ASR Challenge ISCA Best Student Paper Award (2011) Professeur Invité at Université de Saint-Etienne (2005-2006) Royal Society International Short Visit Fellowship (2004) Professor Kurimo leads the Speech Recognition Group at Aalto, collaborating with COIN (Centre of Excellence in Computational Inference) and AIRC (Adaptive Informatics Research Centre). His projects like CaptainA mobile app demonstrate practical applications of ASR in language education. He has supervised numerous publications with co-authors in domains spanning bandwidth extension, stuttering detection, and speech sound disorder assessment.